6 papers
Risk or Replace: Efficient Asymptotics for Data-Driven Maintenance
Poulad Moradi, Joachim Arts, Melvin Drent +1
Condition-based maintenance (CBM) is an approach that plans interventions for deteriorating systems according to their observed operational state. CBM reduces unplanned downtime an…
Asymptotic Optimality of Projected Inventory Level Policies for Lost Sales Inventory Systems with Large Leadtime and Penalty Cost
Poulad Moradi, Joachim Arts, Melvin Drent
We study the canonical periodic review lost sales inventory system with positive leadtime and independent and identically distributed (i.i.d.) demand under the average cost criteri…
Dedicated maintenance and repair shop control for spare parts networks
Chaaben Kouki, Melvin Drent, Collin Drent +1
We study a repairable inventory system dedicated to a single component that is critical in operating a capital good. The system consists of a stock point containing spare component…
Optimal data pooling for shared learning in maintenance operations
Collin Drent, Melvin Drent, Geert-Jan van Houtum
We study optimal data pooling for shared learning in two common maintenance operations: condition-based maintenance and spare parts management. We consider a set of systems subject…
Condition-Based Production for Stochastically Deteriorating Systems: Optimal Policies and Learning
Collin Drent, Melvin Drent, Joachim Arts
Production systems deteriorate stochastically due to usage and may eventually break down, resulting in high maintenance costs at scheduled maintenance moments. This deterioration b…
Same-day or next-day? Transparent time-dependent shipment pricing for e-fulfillment
Uta Mohring, Melvin Drent, Ivo Adan +1
We develop a parsimonious model of an e-commerce fulfillment center that offers time-dependent shipment options and corresponding fees to utility-maximizing customers arriving acco…